Great! Thanks a lot. That looks like a great
alternative.
Best,
May
--- Zhiqiang Wang <[email protected]> wrote:
> Hi May
>
> -epiconf- is an old program. If you are using Stata
> 9 or 10, you may
> want to use -chest- with different syntax
>
> Without looking at your data or the output, I cannot
> tell why you got
> different results. However, there are several
> possible explanations. The
> presence of missing values among confounding factors
> is one of them.
>
> Regards,
> Zhiqiang
>
> Zhiqiang Wang, PhD
> School of Medicine, University of Queensland
> Room 317, Edith Cavell Building
> Royal Brisbane & Women's Hospital
> Herston QLD 4029
> Australia
> Tel: +61 7 3346 4811
> Fax: +61 7 3346 4812
> Email: [email protected]
>
> -----Original Message-----
> From: [email protected]
> [mailto:[email protected]] On
> Behalf Of MAY BAYDOUN
> Sent: Friday, 13 June 2008 2:56 AM
> To: [email protected]
> Subject: st: epiconf for Cox regression model
>
> Dear Statalisters,
>
> I was wondering if you could help me figure out how
> to
> set up an epiconf command for Cox regression models.
> Suppose the model is as follows:
>
> stcox exposure smoke2 smoke3 sex ed_years
>
> and I want to see which potential confounders
> included
> in the model are changing the estimate the most, how
> should I set up the epiconf command to match the
> hazard ratios I am getting here in the full model. I
> tried doing the following but it did not match the
> hazard ratio of the exposure in the full model:
>
> epiconf _t exposure smoke2 smoke3 sex ed_years if
> _st==1, con(ed_years) cat(sex smoke2
> smoke3)model(cox) backward expos(exposure) dead(_d)
> detail
>
> I am getting HRs of 2.70 to 3.00 when I am supposed
> to
> get an adjusted HR of 2.46 and the crude is 2.42.
>
> Thanks a lot for any help you can provide,
>
> Best,
>
> May
>
> May Baydoun, PhD in Epidemiology (UNC-Chapel Hill)
> Staff Scientist,
> National Institute on Aging, NIH/IRP, Biomedical
> Research Center,
> Baltimore, MD
>
>
>
> *
> * For searches and help try:
> *
> http://www.stata.com/support/faqs/res/findit.html
> * http://www.stata.com/support/statalist/faq
> * http://www.ats.ucla.edu/stat/stata/
>
> *
> * For searches and help try:
> *
> http://www.stata.com/support/faqs/res/findit.html
> * http://www.stata.com/support/statalist/faq
> * http://www.ats.ucla.edu/stat/stata/
>
May Baydoun, PhD in Epidemiology (UNC-Chapel Hill) Staff Scientist, National Institute on Aging, NIH/IRP, Biomedical Research Center, Baltimore, MD
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
